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End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation | IEEE Conference Publication | IEEE Xplore

End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation


Abstract:

In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of t...Show More

Abstract:

In this paper we propose a new method for training neural networks (NNs) for frequency modulated continuous wave (FMCW) radar mutual interference mitigation. Instead of training NNs to regress from interfered to clean radar signals as in previous work, we train NNs directly on object detection maps. We do so by performing a continuous relaxation of the cell-averaging constant false alarm rate (CA-CFAR) peak detector, which is a well-established algorithm for object detection using radar. With this new training objective we are able to increase object detection performance by a large margin. Furthermore, we introduce separable convolution kernels to strongly reduce the number of parameters and computational complexity of convolutional NN architectures for radar applications. We validate our contributions with experiments on real-world measurement data and compare them against signal processing interference mitigation methods.
Date of Conference: 06-10 November 2023
Date Added to IEEE Xplore: 28 December 2023
ISBN Information:
Conference Location: Sydney, Australia

Funding Agency:


I. Introduction

Frequency modulated continuous wave radar is a key technology in advanced driver assistance systems such as emergency break assist or adaptive cruise control. However, FMCW radar is prone to interference due to its emited wideband signal. More concretely, data delivered by an FMCW radar might be entirely corrupted if it is interfered by another FMCW radar (mounted on e.g., another car) operating in the same frequency range; This causes mutual interference as both radars are affected. A more detailed explanation of FMCW radar mutual interference can be found in [1], [2].

References

References is not available for this document.